What are the differences between the SQL and NoSQL databases
So here is the point-wise difference between SQL and NoSQL. I am also sharing the examples of both SQL and NoSQL for better understanding.
First, let’s understand the meaning of both –
– SQL stands for Structured Query Language. It is pronounced in 2 ways as S-Q-L and Sequel. It deals with the relational database and used to search, delete, insert and update the data. This SQL language divided into clauses, expressions, operators, queries, subqueries etc.
– NoSQL (non SQL) database is a category of Database Management System. NoSQL database are non-relational databases. This database is increasingly used in big data and real-time web applications. It can accommodate a variety of data models such as key-value pairs, documents.
SQL vs NoSQL
- SQL uses Structured Query Language for manipulation of data. SQL needs predefined Schemas for determining the data structure.
- NoSQL, sometimes we call it UnQL(Unstructured Query Language). Data is stored in different ways such as column-oriented, graph-based, document-oriented etc. NoSQL requires dynamic schemas for determining unstructured data.
- SQL databases represent data in the form of tables i.e. columns and rows.
- NoSQL databases are document based that is in the form of the graph, key-value pairs and more.
- SQL databases can be scaled vertically. These are scaled by increasing hardware horse-power.
- NoSQL databases can be scaled horizontally. NoSQL databases are scaled by increasing the databases servers.
d. High Transactional Based Application
- SQL databases prove best for heavy transactional type applications.
- We can use a NoSQL database for transactions but it is not enough for high and complex transactional applications.
e. SQL databases called as (Relational Databases)whereas NoSQL databases called as non-relational databases.
- SQL – MySql, Oracle, Ms-SQL
- NoSQL – , Cassandra, HBase, CouchDB.
So, this was all in SQL vs NoSQL. Hope you like the explanation. Please UPVOTE if this helped you.